Artificial Intelligence Engineer
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Interview Mode: Hackathon Based Selection
Job Summary
We are looking for high-energy AI Engineers who can design, build, and scale AI-native systems from idea to enterprise-grade deployment—while working closely with clients to solve real business problems.
Key Responsibilities
Demonstrated ability in AI/ML, solution engineering, or building production systems with client exposure, data handling & building data pipelines with good knowledge of DevSecOps/MLOps. Building and deploying containerized AI models using Docker and Kubernetes with hands-on experience in major cloud platforms
Has built at least one AI solution beyond a demo (or shows clear ability to productionize)
Job ID: 151332757
Skills:
Machine Learning, Cnn, Data Cleansing, Clustering, Deep Learning, MLops, Artificial Neural Networks, Decision Trees, Azure, Python, AWS, LSTM, model validation, Data Workflows, Support Vector Machines, Retrieval-Augmented Generation, Feature Selection, YOLO, Quadratic Programming, genetic algorithms, Large Language Models, Exploratory Analytics
Skills:
Python, LangChain, LLM architecture, Transformers, LLM APIs, attention mechanisms, open-source LLMs, cloud-based AI solutions, API integration tools
Skills:
Apis, Git, Rest Apis, Python, Asynchronous processing, LLMs, NoSQL databases, Cloud environment, information extraction, Document Processing, Quality metrics, Evaluation datasets, cost tracking, Relational Databases, Error handling, Regression tests, Model-output validation, Backend services, Monitoring
Skills:
Java, Containers, Spring Boot, Kotlin, React, Typescript, Azure Cloud, Rest Apis, Entra ID, Prompt engineering, LLMs, n8n, CI CD, Azure AI Foundry, Agent frameworks, Sharepoint, RAG, Monitoring
Skills:
Java, Typescript, Javascript, Python, Full-stack application development, Databases and data modeling, Version control and collaborative software development, AI-assisted development workflows, APIs and integrations, Go, Cloud platforms and deployment workflows
